" the noise clouds the flow of information." Here is a good example provided by Tufte:īrasil: Graphicos Economics-Estatisticas, Tufte says that this creates an optical effect like a The graphic in a way that distracts from the data. The general problem here is that certain patterns, when used within visualizations, can The Visual Display of Quantitative Information, Tufte, The Visual Display of Quantitative Information, page 107 Unintentional Optical Art (Moiré Effects) Here three widespread types found in scientific and technical research work are catalogued - unintentional optical art, the dreaded grid, and the self-promoting graphical duck.Į.R. Like weeds, many varieties of chartjunk flourish. Regardless of its cause, it is all non-data-ink or redundant data-ink, and it is often chartjunk. The purpose of decoration varies - to make the graphic appear more scientific and precise, to enliven the display, to give the designer an opportunity to exericse artistic skills. The interior decoration of graphics generates a lot of ink that does not tell the viewer anything new.
The Visual Display of Quantitative InformationĪgain, I allow Tufte to introduce the topic in his own words: Johnathan Swift's Indictment of 17th-century cartographers Other minor changes like reducing the number of tick marks and rotating the y-axis label make the plot easier to read and focus the viewers eyes more on the data itself.Ĭh 5. This visualization is overpowered by the presence of the "+" symbols and unnecessary grid lines crowd the image.įollowing the above principles, Tufte recreates the figure removing the "+" symbols, which allows for the inclusion of additional non-data-ink which aids the viewer, even highlighting the few data points which do not fall on the fit lines. This point is further clarified in Tufte's below principles.Ī great example of this principle is provided by Tufte. That is, we should always work to reduce the amount of unnecessary ink on our graphic in order to not distract from the data. 4.įrom a more formulaic perspective, Tufte also provides the Tufte, The Visual Display of Quantitative Information, Ch. Occasionally artfulness of design makes a graphic worthy of the Museum of Modern Art, but essentially statistical graphics are instruments to help people reason about quantitative information.Į.R. The data graphical form should present the quantitative contents. Below I have included the principles, however, he summarizes the concept nicely in the opening sentence of the chapter:ĭata graphics should draw the viewer's attention to the sense and substance of the data, not to something else. Tufte provides five data-ink principles for how we should think about utilizing ink when creating data graphics.
Time-series, relational graphics, data maps, multivariate designs.
Design of the high-resolution displays, small multiples.
#VISUAL DISPLAYS OF QUANTITATIVE INFORMATION HOW TO#
Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. The classic book on statistical graphics, charts, tables.
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